R: Robust PCA by Projection Pursuit

# Robust PCA by Projection Pursuit

## Documentation for package ‘pcaPP’ version 2.0-5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

cor.fk | Fast estimation of Kendall's tau rank correlation coefficient
covPC | Covariance Matrix Estimation from princomp Object
covPCAgrid | Robust Covariance Matrix Estimation
covPCAproj | Robust Covariance Matrix Estimation
data.Zou | Test Data Generation for Sparse PCA examples
l1median | Multivariate L1 Median
l1median_BFGS | Multivariate L1 Median
l1median_CG | Multivariate L1 Median
l1median_HoCr | Multivariate L1 Median
l1median_NLM | Multivariate L1 Median
l1median_NM | Multivariate L1 Median
l1median_VaZh | Multivariate L1 Median
objplot | Objective Function Plot for Sparse PCs
opt.BIC | Model Selection for Sparse (Robust) Principal Components
opt.TPO | Model Selection for Sparse (Robust) Principal Components
PCAgrid | (Sparse) Robust Principal Components using the Grid search algorithm
PCAproj | Robust Principal Components using the algorithm of Croux and Ruiz-Gazen (2005)
PCdiagplot | Diagnostic plot for principal components
plot.opt.BIC | Tradeoff Curves for Sparse PCs
plot.opt.TPO | Tradeoff Curves for Sparse PCs
plotcov | Compare two Covariance Matrices in Plots
qn | scale estimation using the robust Qn estimator
ScaleAdv | centers and rescales data
sPCAgrid | (Sparse) Robust Principal Components using the Grid search algorithm